Mts - Platform Engineer (tools)

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

The role focuses on designing and optimizing AI Agents and their orchestration layers for Copilot and other AI-powered experiences. It involves building robust systems for multi-model/multi-service workflows, pushing inference performance for low-latency execution, and enabling agents to securely and efficiently call APIs and services. The ideal candidate has backend or ML systems expertise at the intersection of product and inference, building scalable and reliable AI platforms.

What you'd actually do

  1. Build secure and performant AI platform services that power Copilot
  2. Collaborate with engineers and AI researchers to design scalable, reliable, and maintainable systems.
  3. Deliver production-quality code iteratively and efficiently, overcoming roadblocks to get features into users’ hands.
  4. Enjoy working in a fast-paced, design-driven, product development cycle.
  5. Embody our Culture and Values.

Skills

Required

  • Bachelor’s degree in Computer Science or related technical discipline and 4+ years of technical engineering experience, or equivalent experience.

Nice to have

  • Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust.
  • Strong collaborator with proven ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and work effectively with cross-functional teams.
  • Skilled at designing and operating reliable, high-performance systems, identifying and resolving complex technical issues, and writing clean, maintainable, and secure code.
  • Adaptable, proactive, and passionate about learning new technologies, thriving in fast-paced environments, and contributing to an inclusive, high-impact team culture.
  • Hands-on experience with AI platforms, machine learning frameworks, and APIs, including developing, deploying, and scaling language models.

What the JD emphasized

  • designing and optimizing AI Agents
  • reason, plan, and take action autonomously
  • robust orchestration layers that coordinate complex multi-model and multi-service workflows with reliability and scale
  • push the boundaries of inference performance, driving low-latency, high-quality model execution across production workloads
  • design and deliver the primitives that power Copilot and other AI-powered experiences
  • secure, scalable, and reliable workflows
  • turns Copilot into a true productivity engine
  • agents to call APIs, services, and workflows securely, efficiently, and with high success rates
  • backend or ML systems expertise
  • thrive at the intersection of product and inference
  • take ownership, tackle hard problems, and build the connective systems that make AI products fast, reliable, and scalable
  • collaborating with teams to deliver high-impact platforms that power real-world workflows

Other signals

  • AI Agents
  • orchestration layers
  • multi-model and multi-service workflows
  • inference performance
  • low-latency, high-quality model execution
  • Copilot
  • API, services, and workflows securely, efficiently, and with high success rates
  • backend or ML systems expertise
  • product and inference intersection
  • connective systems that make AI products fast, reliable, and scalable
  • high-impact platforms that power real-world workflows